Disinformation in Open Online Media

This book constitutes the refereed proceedings of the 4th Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2022, held in October 2022.
The 7 full papers and 3 short papers were carefully reviewed and selected from 17 full/short paper submissions. The papers focus on health and climate change misinformation, social bots and comment moderation, information seeking and diffusion, misinformation detection, and user perception-based trust models.

Inhalt
User Perception Based Trust Model of Online Sources: A Case Study of Misinformation on COVID-19.- Using Artificial Neural Networks to Identify COVID-19 Misinformation.- Tracing Political Positioning of Dutch Newspapers.- Digital Information Seeking and Sharing Behavior During the COVID-19 Pandemic in Pakistan.- Investigating the Validity of Botometer-based Social Bot Studies.- New Automation for Social Bots: From Trivial Behavior to AI-Powered Communication.- Moderating the Good, the Bad, and the Hateful: Moderators' Attitudes towards ML-based Comment Moderation Support Systems.- Advancing the use of information compression distances in authorship attribution.- Discourses of Climate Delay in American Reddit Discussions.- Incremental Machine Learning for Text Classification in Comment Moderation Systems.